David Dore
About David Dore
David Dore is a Principal Scientist at Exponent and an Adjunct Assistant Professor at Brown University, with extensive experience in epidemiology and health services research. He has held various roles in academia and the pharmaceutical industry, contributing to drug development and health system strategy.
Work at Exponent
David Dore has been serving as a Principal Scientist at Exponent since 2020. In this role, he applies his extensive background in epidemiology and health services research to contribute to various projects. His work at Exponent involves analyzing data and providing insights that inform health-related decision-making. His experience in the pharmaceutical industry and drug development enhances his contributions to the organization.
Education and Expertise
David Dore earned his PhD in Epidemiology from Brown University, where he studied from 2004 to 2008. He also holds a PharmD from the University of Rhode Island, achieved between 1998 and 2004. Additionally, he completed a certificate in Optum Data Science University at Carlson Executive Education, University of Minnesota, in 2018. His expertise includes applied causal inference, knowledge representation, and health system strategy.
Background
David Dore has a diverse professional background that includes significant roles in academia and the pharmaceutical industry. He worked at Brown University in various capacities, including Adjunct Assistant Professor since 2008 and Assistant Professor from 2011 to 2014. His industry experience includes positions at UnitedHealth Group, where he held roles such as Chief Research Officer and Vice President of Health Services Research.
Achievements
Throughout his career, David Dore has made contributions in both academic and corporate environments. He has been involved in drug development and has a strong foundation in corporate general management. His leadership skills are evident from his various roles at UnitedHealth Group, where he managed research teams and projects. His involvement in research data engineering further highlights his capability in managing data for health-related research.